Study on Horizontal Displacement of Alluvial Flat Soft Ground under Embankment

2012 ◽  
Vol 178-181 ◽  
pp. 1484-1487 ◽  
Author(s):  
Xiao Mou Wang ◽  
Huai Yu Yuan ◽  
Lin Wang
Keyword(s):  
Failure Mode ◽  
Yellow River ◽  
Horizontal Displacement ◽  
Henan Province ◽  
Soft Ground ◽  
Construction Time ◽  
Deep Layers ◽  
Ground Types ◽  
Horizontal Displacements

There are three soft ground types in the joint highway of Jiaozuo-Gongyi Yellow River bridge in Henan province: shallow, sandwich and deep layers. By analyzing the observation date, the horizontal displacement characteristics of alluvial flat soft ground under embankment are studied. The settlement is the dominant deformation in construction time, but the mainly factor that controls construction speed is horizontal displacement of the weakest layer. The failure mode of sandwich and shallow type grounds is different to the circular one in deep type ground, so the translation mode is put forward. Due to the uniform in thickness and spaces of alluvial flat soft ground, the horizontal displacements are quite different at both sides of subgrade.

Research on Highway Pre-Compression Term on Alluvial Flat Soft Clay Treated with Packed Drain Well

2012 ◽  
Vol 178-181 ◽  
pp. 1230-1233
Author(s):  
Huai Yu Yuan ◽  
Xiao Mou Wang ◽  
Guo Qi Li
Keyword(s):  
Yellow River ◽  
Soft Clay ◽  
Henan Province ◽  
Soft Ground ◽  
Settlement Rate ◽  
Project Quality ◽  
Total Length ◽  
Settlement Type

The joint road of Jiaozuo-Gongyi Yellow River bridge in Henan province is built on the Yiluo River alluvial flat soft ground. The total length treated with packed drain well is 1384 meters. To guarantee project quality and summarize the deformation rules of the alluvial flat soft clay, 15 representative sections are selected and 38 settlement plats are set. The observation has been lasting more than two years from construction to precompression term. By analyzing the characteristic of the soft clay, the settlement type of precompression, the settlement standard of post-construction and the settlement rate of precompression, that the precompression term is not needed is put forward on the alluvial flat soft ground treated with packed drain well.

scholarly journals Carbon Storage Change Analysis and Emission Reduction Suggestions under Land Use Transition: A Case Study of Henan Province, China

2021 ◽  
Vol 18 (4) ◽  
pp. 1844
Author(s):  
Dongyang Xiao ◽  
Haipeng Niu ◽  
Jin Guo ◽  
Suxia Zhao ◽  
Liangxin Fan
Keyword(s):  
Land Use ◽  
River Basin ◽  
Yangtze River ◽  
Carbon Emission ◽  
Yellow River ◽  
Yangtze River Basin ◽  
Yellow River Basin ◽  
River Basins ◽  
Henan Province ◽  
Huai River

The significant spatial heterogeneity among river basin ecosystems makes it difficult for local governments to carry out comprehensive governance for different river basins in a special administrative region spanning multi-river basins. However, there are few studies on the construction of a comprehensive governance mechanism for multi-river basins at the provincial level. To fill this gap, this paper took Henan Province of China, which straddles four river basins, as the study region. The chord diagram, overlay analysis, and carbon emission models were applied to the remote sensing data of land use to analyze the temporal and spatial patterns of carbon storage caused by land-use changes in Henan Province from 1990 to 2018 to reflect the heterogeneity of the contribution of the four basins to human activities and economic development. The results revealed that food security land in the four basins decreased, while production and living land increased. Ecological conservation land was increased over time in the Yangtze River Basin. In addition, the conversion from food security land to production and living land was the common characteristic for the four basins. Carbon emission in Henan increased from 134.46 million tons in 1990 to 553.58 million tons in 2018, while its carbon absorption was relatively stable (1.67–1.69 million tons between 1990 and 2018). The carbon emitted in the Huai River Basin was the main contributor to Henan Province’s total carbon emission. The carbon absorption in Yellow River Basin and Yangtze River Basin had an obvious spatial agglomeration effect. Finally, considering the current need of land spatial planning in China and the goal of carbon neutrality by 2060 set by the Chinese government, we suggested that carbon sequestration capacity should be further strengthened in Yellow River Basin and Yangtze River Basin based on their respective ecological resource advantages. For future development in Hai River Basin and Huai River Basin, coordinating the spatial allocation of urban scale and urban green space to build an ecological city is a key direction to embark upon.

scholarly journals Analysis of Characteristics and Driving Factors of Wetland Landscape Pattern Change in Henan Province from 1980 to 2015

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 564
Author(s):  
Heying Li ◽  
Jiayao Wang ◽  
Jianchen Zhang ◽  
Fen Qin ◽  
Jiyuan Hu ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Constructed Wetlands ◽  
Redundancy Analysis ◽  
Yellow River ◽  
Land Development ◽  
Henan Province ◽  
Driving Factors ◽  
Wetland Area ◽  
Natural Wetlands ◽  
Temporal And Spatial

The study of the temporal and spatial evolution of wetland landscapes and its driving factors is an important reference for wetland ecological restoration and protection. This article utilized seven periods of land use data in Henan Province from 1980 to 2015 to extract the spatial distribution characteristics of wetlands and analyze the temporal and spatial changes of wetlands in Henan Province. Transfer matrix, landscape metrics, correlation analysis, and redundancy analysis were applied to calculate and analyze the transformation types and area of wetland resources between all consecutive periods, and then the main driving factors of wetland expansion/contraction were explored. First, the total wetland area in Henan Province increased by 28% from 1980 to 2015, and the increased wetland area was mainly constructed wetlands, including paddy field, reservoir and pond, and canal. Natural wetlands such as marsh, lake, and floodplain decreased by 74%. Marsh area declined the most during 1990–1995, and was mainly transformed into floodplain and “Others” because of agricultural reclamation, low precipitation, and low Yellow River runoff. The floodplain area dropped the most from 2005 to 2010, mainly converted to canals and “Others” because of reclamation, exploitation of groundwater, the construction of the South–to–North Water Transfer Project, and recreational land development. Second, the results of correlation analysis and redundancy analysis indicated that economic factors were positively correlated with the area of some constructed wetlands and negatively correlated with the area of some natural wetlands. Socioeconomic development was the main driving factors for changes in wetland types. The proportion of wetland habitat in Henan Province in 2015 was only 0.3%, which is low compared to the Chinese average of 2.7%. The government should pay more attention to the restoration of natural wetlands in Henan Province.

scholarly journals CONCERNING THE EXTRACTION OF A SLACK SOIL LAYER FROM COMPRESSIBLE THICKNESS OF FOUNDATION STRATUM OF FINITE WIDTH FOUNDATIONS

2019 ◽  
Vol 7 (4) ◽  
pp. 49-56
Author(s):  
Zaven Ter-Martirosyan ◽  
Armen Ter-martirosyan ◽  
Valery DEMYANENKO
Keyword(s):  
Analytical Solutions ◽  
Soft Soil ◽  
Soil Layer ◽  
Horizontal Displacement ◽  
Creep Model ◽  
Shear Stresses ◽  
Finite Width ◽  
Relative Depth ◽  
Weak Layer ◽  
Horizontal Displacements

The paper provides a quantitative assessment of the deflected mode of foundation stratum of finite width foundation, in the compressible thickness of which there is a slack clay soil layer. A number of criteria for assessing the possibility or impossibility of extruding a slack layer depending on its strength and rheological properties, as well as the relative thickness of the layer to its length (h/l) and the relative depth of the layer (h/d) have been given. Closed analytical solutions are given to determine the rate of Foundation precipitation depending on the rate of extrusion of the weak layer, including taking into account the damped and undamped creep. The analytical solutions in the article are supported by the graphical part made with the help of the Mathcad program. Plots of changes in shear stresses in the layer along the x axis at different distances from the axis and at different values 0, contours of horizontal displacement velocities in the weak layer at different distances from the x axis, plots of horizontal displacement velocities in the middle of the weak layer and plots of horizontal displacement velocities in the weak layer at different distances from the x axis are given. As a calculation model for describing the creep of a slack layer, rheological ones of the soil using power and hyperbolic functions and their modifications have been considered. In addition, most modern rheological models that take into account soil hardening during creep have been considered. Based on these models, the problem is solved by means analytical and numerical methods using the Mathcad PC and the PLAXIS PC according to the Soft Soil Creep model. The graphical part shows the isofields of horizontal displacements for 300 days and 600 days and the corresponding contours of horizontal displacements.

Estimation of liquefaction-induced horizontal displacements using artificial neural networks

2001 ◽  
Vol 38 (1) ◽  
pp. 200-207 ◽  
Author(s):  
M Chiru-Danzer ◽  
C H Juang ◽  
R A Christopher ◽  
J Suber
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Field Performance ◽  
Horizontal Displacement ◽  
Lateral Spreading ◽  
Ann Model ◽  
Modeling And Analysis ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Horizontal Displacements

In the present study, artificial neural network (ANN) models based on field performance data are developed for predicting liquefaction-induced horizontal displacements. A database consisting of 443 measurements of horizontal displacements forms the basis for ANN modeling and analysis. The ANN model resulted in predictive capabilities that surpass those of published methods. A sensitivity analysis of the ANN model is conducted to evaluate the effect of each individual input variable on the calculated horizontal displacement. The newly developed ANN model is compared with and shown to be more accurate than other existing methods in predicting liquefaction-induced horizontal displacements.Key words: liquefaction, artificial neural networks, lateral spreading.

Sign in / Sign up

Export Citation Format

Share Document